Improving Sampling from Generative Autoencoders with Markov Chains. - Kai Arulkumaran; Antonia Creswell; Anil Anthony Bharath (CoRR, 2016)

Classifying Options for Deep Reinforcement Learning. - Kai Arulkumaran; Nat Dilokthanakul; Murray Shanahan; Anil Anthony Bharath (CoRR, 2016)

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders. - Nat Dilokthanakul; Pedro A. M. Mediano; Marta Garnelo; Matthew C. H. Lee; Hugh Salimbeni; Kai Arulkumaran; Murray Shanahan (CoRR, 2016)

Towards Deep Symbolic Reinforcement Learning. - Marta Garnelo; Kai Arulkumaran; Murray Shanahan (CoRR, 2016)

An assistive haptic interface for appearance-based indoor navigation. - Jose Rivera-Rubio; Kai Arulkumaran; Hemang Rishi; Ioannis Alexiou; Anil A. Bharath (Comput. Vis. Image Underst., 2016)

A Brief Survey of Deep Reinforcement Learning. - Kai Arulkumaran; Marc Peter Deisenroth; Miles Brundage; Anil Anthony Bharath (CoRR, 2017)

On denoising autoencoders trained to minimise binary cross-entropy. - Antonia Creswell; Kai Arulkumaran; Anil A. Bharath (CoRR, 2017)

Deep Reinforcement Learning: A Brief Survey. - Kai Arulkumaran; Marc Peter Deisenroth; Miles Brundage; Anil Anthony Bharath (IEEE Signal Process. Mag., 2017)

Variational Inference for Data-Efficient Model Learning in POMDPs. - Sebastian Tschiatschek; Kai Arulkumaran; Jan Stühmer; Katja Hofmann (CoRR, 2018)

Generative Adversarial Networks: An Overview. - Antonia Creswell; Tom White; Vincent Dumoulin; Kai Arulkumaran; Biswa Sengupta; Anil A. Bharath (IEEE Signal Process. Mag., 2018)

AlphaStar: an evolutionary computation perspective. - Kai Arulkumaran; Antoine Cully; Julian Togelius (GECCO (Companion), 2019)

Adaptive Neural Trees. - Ryutaro Tanno; Kai Arulkumaran; Daniel C. Alexander; Antonio Criminisi; Aditya V. Nori (ICML, 2019)

A Maximum Entropy Deep Reinforcement Learning Neural Tracker. - Shafa Balaram; Kai Arulkumaran; Tianhong Dai; Anil Anthony Bharath (MLMI@MICCAI, 2019)

Image Synthesis with a Convolutional Capsule Generative Adversarial Network. - Cher Bass; Tianhong Dai; Benjamin Billot; Kai Arulkumaran; Antonia Creswell; Claudia Clopath; Vincenzo De Paola; Anil Anthony Bharath (MIDL, 2019)

Deep Reinforcement Learning for Subpixel Neural Tracking. - Tianhong Dai; Magda Dubois; Kai Arulkumaran; Jonathan Campbell; Cher Bass; Benjamin Billot; Fatmatülzehra Uslu; Vincenzo De Paola; Claudia Clopath; Anil Anthony Bharath (MIDL, 2019)

Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means. - Andrea Agostinelli; Kai Arulkumaran; Marta Sarrico; Pierre Richemond; Anil Anthony Bharath (CoRR, 2019)

Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control. - Marta Sarrico; Kai Arulkumaran; Andrea Agostinelli; Pierre Richemond; Anil Anthony Bharath (CoRR, 2019)

Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation. - Tianhong Dai; Kai Arulkumaran; Samyakh Tukra; Feryal M. P. Behbahani; Anil Anthony Bharath (CoRR, 2019)

Incorporating Human Priors into Deep Reinforcement Learning for Robotic Control. - Manon Flageat; Kai Arulkumaran; Anil A. Bharath (ESANN, 2020)

EczemaNet: Automating Detection and Severity Assessment of Atopic Dermatitis. - Kevin Pan; Guillem Hurault; Kai Arulkumaran; Hywel C. Williams; Reiko J. Tanaka (MLMI@MICCAI, 2020)

Privileged Information Dropout in Reinforcement Learning. - Pierre-Alexandre Kamienny; Kai Arulkumaran; Feryal M. P. Behbahani; Wendelin Boehmer; Shimon Whiteson (CoRR, 2020)

Sample efficiency, transfer learning and interpretability for deep reinforcement learning. - Kai Arulkumaran (2020)

Diversity-Based Trajectory and Goal Selection with Hindsight Experience Replay. - Tianhong Dai; Hengyan Liu; Kai Arulkumaran; Guangyu Ren; Anil Anthony Bharath (PRICAI (3), 2021)

The Societal Implications of Deep Reinforcement Learning. - Jess Whittlestone; Kai Arulkumaran; Matthew Crosby (J. Artif. Intell. Res., 2021)

Surrogate Infeasible Fitness Acquirement FI-2Pop for Procedural Content Generation. - Roberto Gallotta; Kai Arulkumaran; Lisa B. Soros (CoG, 2022)

Minimal criterion artist collective. - Kai Arulkumaran; Thu Nguyen-Phuoc (GECCO Companion, 2022)

Evolving spaceships with a hybrid L-system constrained optimisation evolutionary algorithm. - Roberto Gallotta; Kai Arulkumaran; Lisa B. Soros (GECCO Companion, 2022)

All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL. - Kai Arulkumaran; Dylan R. Ashley; Jürgen Schmidhuber; Rupesh Kumar Srivastava (CoRR, 2022)

Learning Relative Return Policies With Upside-Down Reinforcement Learning. - Dylan R. Ashley; Kai Arulkumaran; Jürgen Schmidhuber; Rupesh Kumar Srivastava (CoRR, 2022)

Analysing deep reinforcement learning agents trained with domain randomisation. - Tianhong Dai; Kai Arulkumaran; Tamara Gerbert; Samyakh Tukra; Feryal M. P. Behbahani; Anil Anthony Bharath (Neurocomputing, 2022)

On the link between conscious function and general intelligence in humans and machines. - Arthur Juliani; Kai Arulkumaran; Shuntaro Sasai; Ryota Kanai (Trans. Mach. Learn. Res., 2022)

A Pragmatic Look at Deep Imitation Learning. - Kai Arulkumaran; Dan Ogawa Lillrank (ACML, 2023)

Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data. - Motoshige Sato; Kenichi Tomeoka; Ilya Horiguchi; Kai Arulkumaran; Ryota Kanai; Shuntaro Sasai (CoRR, 2024)

Design and evaluation of a global workspace agent embodied in a realistic multimodal environment. - Rousslan Fernand Julien Dossa; Kai Arulkumaran; Arthur Juliani; Shuntaro Sasai; Ryota Kanai (Frontiers Comput. Neurosci., 2024)

A comparison of visual and auditory EEG interfaces for robot multi-stage task control. - Kai Arulkumaran; Marina Di Vincenzo; Rousslan Fernand Julien Dossa; Shogo Akiyama; Dan Ogawa Lillrank; Motoshige Sato; Kenichi Tomeoka; Shuntaro Sasai (Frontiers Robotics AI, 2024)

Preference-Learning Emitters for Mixed-Initiative Quality-Diversity Algorithms. - Roberto Gallotta; Kai Arulkumaran; Lisa B. Soros (IEEE Trans. Games, 2024)

Improving Low-Cost Teleoperation: Augmenting GELLO with Force. - Shivakanth Sujit; Luca Nunziante; Dan Ogawa Lillrank; Rousslan Fernand Julien Dossa; Kai Arulkumaran (SII, 2025)

A Silent Speech Decoding System from EEG and EMG with Heterogenous Electrode Configurations. - Masakazu Inoue; Motoshige Sato; Kenichi Tomeoka; Nathania Nah; Eri Hatakeyama; Kai Arulkumaran; Ilya Horiguchi; Shuntaro Sasai (CoRR, 2025)